Build with Oracle AI Database
What's new
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Unified Memory Core for AI Agents
- Vector, JSON, Graph & Relational together
- Consistent context in one query
- Reason over live enterprise data
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LangChain + Oracle AI Database
- One database for apps and AI
- Build RAG without re-architecting your stack
- Fewer pipelines, fewer sync jobs
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Build Memory-Aware AI Agents
- Free short course on DeepLearning.AI
- Engineer persistent, structured memory
- Built on Oracle AI Database data layer
Build a Multi Agent RAG system with A2A Protocol and LangChain
Build a multi-agent RAG system that scales intelligently. Learn how A2A Protocol lets you scale individual agents independently, no more duplicating your entire pipeline.
April 28, 2026
What Is Agent Memory? A Beginner’s Guide for AI Developers
Casius LeeAgent memory is stored state an AI agent can retrieve across sessions to maintain continuity. A bigger context window does not fix the problem. Once memory has to persist, be scoped to the right user, and be retrieved reliably, it becomes a data problem, and is often best handled in a database such as Oracle AI Database.
Read the full articleFeatured Blogs
- April 27, 2026 Unified Memory Core for AI Agents
- April 20, 2026 16 Ways to make a Small Language Model think bigger
- April 16, 2026 Building ONNX Embedding Workflows in Oracle AI Database with Python
- March 25, 2026 Agent Reasoning: The Thinking Layer
- March 16, 2026 What Is the AI Agent Loop? The Core Architecture Behind Autonomous AI Systems
Developer Coaching series
Developer Coaching is a webinar series designed for technologists, by technologists. Learn by doing, with live, interactive sessions showcasing real-world solutions.
